DOI: 10.1007/s00382-016-3037-3
Scopus记录号: 2-s2.0-84960127129
论文题名: Characterization of vertical cloud variability over Europe using spatial lidar observations and regional simulation
作者: Chakroun M. ; Bastin S. ; Chiriaco M. ; Chepfer H.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 51, 期: 3 起始页码: 813
结束页码: 835
语种: 英语
英文关键词: Clouds
; Europe
; Lidar
; Natural variability
; Simulation
Scopus关键词: CALIPSO
; climate forcing
; climate modeling
; cloud microphysics
; computer simulation
; lidar
; numerical model
; regional climate
; spatial variation
; vertical distribution
; Europe
英文摘要: In this paper we characterize the seasonal and inter-annual variabilities of cloud fraction profiles in both observations and simulation since they are critical to better assess the impact of clouds on climate variability. The spaceborne lidar onboard CALIPSO, providing cloud vertical profiles since 2006, is used together with a 23-year WRF simulation at 20 km resolution. A lidar simulator helps to compare consistently model with observations. The bias in observations due to the satellite under-sampling is first estimated. Then we examine the vertical variability of both occurrence and properties of clouds. It results that observations indicate a similar occurrence of low and high clouds over continent, and more high than low clouds over the sea except in summer. The simulation shows an overestimate (underestimate) of high (low) clouds comparing to observations, especially in summer. However the seasonal variability of cloud vertical profiles is well captured by WRF. Concerning inter-annual variability, observations show that in winter, those of high clouds is twice the low clouds one, an order of magnitude that is is well simulated. In summer, the observed inter-annual variability is vertically more homogeneous while the model still simulates more variability for high clouds than for low clouds. The good behavior of the simulation in winter allows us to use the 23 years of simulation and 8 years of observations to estimate the time period required to characterize the natural variability of the cloud fraction profile in winter, i.e. the time period required to detect significant anomalies and trends. © 2016, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109189
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: LATMOS/IPSL, UVSQ Université Paris-Saclay, UPMC Univ. Paris 06, CNRS, Guyancourt, France; Laboratoire de Météorologie Dynamique, IPSL, Centre National de la Recherche Scientifique, Université Paris 6, Paris, France
Recommended Citation:
Chakroun M.,Bastin S.,Chiriaco M.,et al. Characterization of vertical cloud variability over Europe using spatial lidar observations and regional simulation[J]. Climate Dynamics,2018-01-01,51(3)